GENERATOR MONITORING
Detecting early signs of drivetrain failure
    Key features include:
  •   Using spectral analysis to detect early signs of failure
  •   Configurable sample rates for high resolution FFT spectrum
  •   Current demodulation analysis for quick identification of spectral components
  •   Compatible with the full suite of application services, including trending and alert notifications
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    SPECTRAL ANALYSIS
    There are a number of critical components within a generator which effect the magnetic field between the rotor and stator. As an example, a defect in the rotor bar of an induction generator causes the modulation of the stator current. The impact of broken rotor bars to the stator current can be determined by analysis in the frequency domain - this approach to detect rotor bar failures is typically seen in a Current Signature Analysis (CSA). Rotor faults can result in excess heat, decreased efficiency, reduced insulation life, and iron core damage. Therefore, early detection of incipient rotor faults and appropriate maintenance can avoid more severe failures.

    Defects within the gearbox can also cause signficant reliability problems. Historically gear defects within a wind turbine gearbox have been difficult to diagnose at an early enough stage to prevent costly repairs and unplanned shutdowns. Most wind turbine gearboxes have several stages each of which produces specific gear mesh frequencies. These gearmesh frequencies, including their modulated sidebands, can be observed on both frequency spectrums as well as on current demodulated current spectrums. Provided the measurement system has sufficient dynamic range, such defects can be detected well in advance of actual failure.

    Continuous monitoring of spectral components is a key element to having an effective preventative maintenance program.

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